Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: langfuse
Author: langfuse · Source status: Clear source
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
httptap
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
Openclaw Smart Search
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
devspace
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | httptap | Openclaw Smart Search | devspace |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 85 · Evidence missing | 79 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, OpenClaw | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence completeness | 65% | 69% | 65% |
| Source & provenance | |||
Provenance | ozeranskii/httptap | openclaw/skills | devspace-sh/devspace |
Category | Operations & Infra | Integrations & Connectors | Operations & Infra |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access | needs credentials, network access, runs shell, writes files | No explicit signals |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | OpenClaw | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 486 | 0 | 5K |
Repository: centreon
Author: centreon · Source status: Clear source
Centreon is a network, system and application monitoring tool.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: Observal
Author: BlazeUp-AI · Source status: Clear source
Observal is an observability platform and market place for your MCP servers Topics: cli-tool, evaluation, large-language-models, llm, llm-evaluation, llm-observability, llmops, monitoring, observability, open-source, pla
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: jpengcheng523-netizen · Source status: Clear source
Provides monitoring and alerting for agent abnormal behavior metrics with Prometheus and Grafana support, including P99 latency, error rates, anomaly detection, and custom alert rules.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: kubeshark
Author: kubeshark · Source status: Clear source
eBPF-powered network observability for Kubernetes.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-06 |
2026-03-26 |
2026-04-04 |
40 |
65 |
40 |
